<project>
  <modelVersion>4.0.0</modelVersion>
  <groupId>maven</groupId>
  <artifactId>p0</artifactId>
  <packaging>pom</packaging>
  <version>1.0</version>

  <build>
    <plugins>
      <plugin>
        <groupId>org.apache.maven.plugins</groupId>
        <artifactId>maven-compiler-plugin</artifactId>
        <executions>
          <execution>
            <id>test</id>

            <!--  The key to this test... -->

        format(nodes, true)
    }

    def format(Iterable<? extends Node> nodes, boolean prettyPrint = false) {
        StringBuilder builder = new StringBuilder()
        nodes.each { node ->
            format(node, builder, 0, prettyPrint, prettyPrint)
        }
        return builder.toString()
    }

    def format(Node node, Appendable target, int depth, boolean prettyPrint, boolean indentSelf) {

  <version>1.1</version>
  <build>
    <plugins>
      <plugin>
        <artifactId>maven-surefire-plugin</artifactId>
        <configuration>
          <excludes>
            <exclude>org/codehaus/plexus/util/FileBasedTestCase.java</exclude>
            <exclude>**/Test*.java</exclude>
          </excludes>
        </configuration>
      </plugin>
    </plugins>
  </build>
  <distributionManagement>

    /**
     * A boolean flag indicating whether the artifact is meant to be used for the compile/runtime/test build path of a
     * consumer project.
     * <p>
     * Note: This property is about "build path", whatever it means in the scope of the consumer project. It is NOT
     * about Java classpath or anything alike. How artifact is being consumed depends heavily on the consumer project.

WIP ML Build Docker container for ML repositories (Tensorflow, JAX and XLA).

This container branches off from
/tensorflow/tools/tf_sig_build_dockerfiles/. However, since
hermetic CUDA and hermetic Python is now available for Tensorflow, a lot of the
requirements installed on the original container can be removed to reduce the
footprint of the container and make it more reusable across different ML

        gradleUserHomeDir = intTestHomeDir
        // The user home dir is not wiped out by clean. Move the daemon working space underneath the build dir so they don't pile up on CI.
        // The actual daemon registry dir will be a subfolder using the name of the distribution.
        daemonRegistry = repoRoot().dir("build/daemon")
        gradleSnippetsDir = repoRoot().dir("platforms/documentation/docs/src/snippets") // TODO use dependency management

import org.apache.maven.api.annotations.Experimental;
import org.apache.maven.api.annotations.Nonnull;
import org.apache.maven.api.model.Model;
import org.apache.maven.api.model.Profile;

/**
 * Result of a project build call.
 *
 * @since 4.0.0
 */
@Experimental
public interface ModelBuilderResult extends Result<ModelBuilderRequest> {

    /**
     * Gets the source from which the model was read.
     *

# Install Visual Studio 2022 Build Tools + Compiler
SHELL ["cmd", "/S", "/C"]
# Packages, and component versions, can be found here:
# https://learn.microsoft.com/en-us/visualstudio/install/workload-component-id-vs-build-tools
RUN C:\TEMP\vs_community.exe \
        --quiet --wait --norestart --nocache \

      <version>1.0</version>
    </dependency>

  </dependencies>
  <build>
    <plugins>
      <plugin>
        <artifactId>maven-antrun-plugin</artifactId>
        <configuration>
          <tasks><echo>${project.parent.basedir}</echo></tasks>
        </configuration>
      </plugin>
    </plugins>
  </build>

      <artifactId>maven-api-annotations</artifactId>
    </dependency>
    <dependency>
      <groupId>org.codehaus.plexus</groupId>
      <artifactId>plexus-xml</artifactId>
    </dependency>
  </dependencies>

  <build>
    <plugins>
      <plugin>
        <groupId>org.codehaus.modello</groupId>
        <artifactId>modello-maven-plugin</artifactId>
        <configuration>
          <version>1.1.0</version>